Award Abstract # 1816542
SHF: SMALL: A Novel Algorithm for Automated Synthesis of Passive, Causal, and Stable Models for Optical Interconnects

NSF Org: CCF
Division of Computing and Communication Foundations
Recipient: REGENTS OF THE UNIVERSITY OF IDAHO
Initial Amendment Date: June 22, 2018
Latest Amendment Date: June 22, 2018
Award Number: 1816542
Award Instrument: Standard Grant
Program Manager: Sankar Basu
sabasu@nsf.gov
 (703)292-7843
CCF
 Division of Computing and Communication Foundations
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2018
End Date: September 30, 2022 (Estimated)
Total Intended Award Amount: $250,000.00
Total Awarded Amount to Date: $250,000.00
Funds Obligated to Date: FY 2018 = $250,000.00
History of Investigator:
  • Ata Zadehgol (Principal Investigator)
    azadehgol@uidaho.edu
Recipient Sponsored Research Office: Regents of the University of Idaho
875 PERIMETER DR
MOSCOW
ID  US  83844-9803
(208)885-6651
Sponsor Congressional District: 01
Primary Place of Performance: University of Idaho
M/S 1023, 875 Perimeter Dr.
Moscow
ID  US  83844-1023
Primary Place of Performance
Congressional District:
Unique Entity Identifier (UEI): QWYKRJH5NNJ3
Parent UEI:
NSF Program(s): Software & Hardware Foundation,
EPSCoR Co-Funding
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7923, 7945, 9150
Program Element Code(s): 779800, 915000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

With the explosive growth of Big Data and Internet of Things, and the ever-growing demand for high-performance computing, mobility, security, and high-fidelity experiences, there is an increasing need for high-bandwidth and low-loss interconnect technologies that enable efficient data transfer across the chip. The optical fiber and its significant capacity for high-bandwidth data transfer are well-known in the telecommunications industry, and widely exploited in their long-distance network of interconnects. Scaling down optical interconnects to fit in nano-scale silicon chips would clearly be advantageous for achieving high-bandwidth data transfer on-chip -- however, a major hurdle is the dearth of accurate and efficient computable stochastic electromagnetic models for simulation of optical interconnect structures comprised of multiple tightly-coupled nano-scale silicon-on-insulator (SOI) wave-guides that carry information signals (i.e., TeraHertz electromagnetic waves) across on-chip transmitters and receivers. The overall goal of this proposal is to develop algorithms for a software tool to perform the design, analysis, and optimization of 3-dimensional (3-D) nano-scale optical interconnects based on SOI wave-guides exhibiting random surface roughness. The overall educational components of this project are to leverage the developed models and software to: (1) develop new graduate courses, (2) develop interactive learning objects and lab-based activities for undergraduate courses, and (3) stimulate undergraduate students' interest in science, and recruit and mentor diverse groups of students including women and minority groups.

The project team will develop the Optical Interconnect Designer Tool (OIDT) software, of which the input is comprised of: (1) the specified 3-D geometry representing the physical description of the multi-port optical interconnect system, (2) the random distribution for surface roughness of SOI wave-guide, and (3) the wave-guide material's electrical properties. The OIDT will autonomously synthesize two types of electrical models: (1) network scattering parameters for design optimization of the interconnect, in the frequency-domain, and (2) stable, passive, and causal SPICE equivalent circuit models for timing analysis and signal/power integrity analysis of the passive interconnect, integrated with active non-linear drivers and components, in the time-domain. The proposed Python-based software package may be used stand-alone, or integrated into existing computer aided design (CAD) tools and design-flows to facilitate design automation, and research and development of advanced microelectronics for a variety of applications including computing, communications, energy, security, sensing, health, etc. The numerical program will be hosted on GitHub as an open-source project, to facilitate and promote (inter)national optical device research. The education component expands public's scientific literacy.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 11)
Choupanzadeh, Rasul and Zadehgol, Ata "Stability, Causality, and Passivity Analysis of Canonical Equivalent Circuits of Improper Rational Transfer Functions With Real Poles and Residues" IEEE Access , v.8 , 2020 10.1109/ACCESS.2020.3007854 Citation Details
Guiana, Brian and Zadehgol, Ata "A 1D Gaussian Function for Efficient Generation of Plane Waves in 1D, 2D, and 3D FDTD" 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting , 2021 https://doi.org/10.1109/IEEECONF35879.2020.9329878 Citation Details
Guiana, Brian and Zadehgol, Ata "Characterizing THz Scattering Loss in Nano-Scale SOI Waveguides Exhibiting Stochastic Surface Roughness with Exponential Autocorrelation" Electronics , v.11 , 2022 https://doi.org/10.3390/electronics11030307 Citation Details
Guiana, Brian and Zadehgol, Ata "FDTD Simulation of Stochastic Scattering Loss Due to Surface Roughness in Optical Interconnects" 2022 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) , 2022 https://doi.org/10.23919/USNC-URSINRSM57467.2022.9881433 Citation Details
Guiana, Brian and Zadehgol, Ata "Machine Learning for Rectangular Waveguide Mode Identification, using 2D Modal Field Patterns" 2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) - , Boulder, CO. , 2023 https://doi.org/10.36227/techrxiv.21307800.v1 Citation Details
Guiana, Brian and Zadehgol, Ata "S-Parameter Extraction Methodology in FDTD for Nano-Scale Optical Interconnects" 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) , 2021 https://doi.org/10.1109/TELSIKS52058.2021.9606330 Citation Details
Guiana, Brian and Zadehgol, Ata "Stochastic FDTD Modeling of Propagation Loss due to Random Surface Roughness in Sidewalls of Optical Interconnects" 2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) , 2021 https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336433 Citation Details
Guiana, Brian and Zadehgol, Ata "Stochastic Loss in Dielectric Slab Waveguides due to Exponential and Uncorrelated Surface Roughness" 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), Denver, CO , 2022 https://doi.org/10.23919/USNC-URSI52669.2022.9887412 Citation Details
Guiana, Brian and Zadehgol, Ata "Width Confinement in 3D Dielectric Waveguides and Comparison to 2D Analytical Models" 2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), Boulder, CO , 2023 https://doi.org/10.36227/techrxiv.21307818.v1 Citation Details
Zadehgol, Ata "Complex s-Plane Modeling and 2D Characterization of the Stochastic Scattering Loss in Symmetric Dielectric Slab Waveguides Exhibiting Ergodic Surface-Roughness With an Exponential Autocorrelation Function" IEEE Access , v.9 , 2021 https://doi.org/10.1109/ACCESS.2021.3092635 Citation Details
Zadehgol, Ata and Lei, Hangtian and Johnson, Brian K. "A Methodology for Remote Sensing Inter-Turn Fault Events in Power System Air-Core Reactors, via Simulation of Magneto Quasi-Static Fields in 2D FDTD" IEEE Access , 2020 https://doi.org/10.1109/ACCESS.2020.3024927 Citation Details
(Showing: 1 - 10 of 11)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project develops: (1) algorithms and computer code for autonomous synthesis of reduced-order, passive, and stable SPICE (Simulation Program with Integrated Circuit Emphasis) equivalent-circuit models for optical interconnects comprised of nanoscale silicon-on-insulator (SOI) dielectric waveguides; (2) efficient electromagnetic models based on the method of finite-difference time-domain (FDTD) in three-dimensional (3D) space, for automated computation of the scattering-parameters (S-parameters) of multi-port SOI waveguides with minimum width near 500 nm and excited by electromagnetic source wavelength near 1.54 um; (3) the open-source software (OSS) entitled the optical interconnect designer tool (OIDT), for design automation of on-chip optical interconnects; and (4) visualization software to impart an intuitive understanding of the behavior of optical interconnects in various geometries, across several optical source waveforms and frequencies.

The OIDT software enables research and development of technologies for advancing the state-of-the-art in computational sciences and engineering. The OIDT software facilitates the realization of transformative applications, such as ultra-fast and extreme-bandwidth computing and communication. The OIDT OSS may be used either as a stand-alone tool or integrated into existing computer-aided design (CAD) software and flows to facilitate the electronic design automation (EDA) for optical interconnects and advanced microelectronics.

The optical interconnect designs, facilitated by the OIDT software, may benefit various sectors of the US economy including education, healthcare, agriculture, financial markets, and manufacturing. The OSS OIDT is hosted on GitHub at https://github.com/bmguiana/OIDT.

 


Last Modified: 11/23/2022
Modified by: Ata Zadehgol

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